






'''simple docstring'''





import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_UpperCamelCase						:						Optional[Any]  =					logging.get_logger(__name__)

_UpperCamelCase						:						Optional[int]  =					{
    'nvidia/segformer-b0-finetuned-ade-512-512': (
        'https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}


class  snake_case__      (					UpperCamelCase):
					a_        =					"segformer"




					def __init__(  self  :		int				, _A  :		Union[str, Any]=3				, _A  :		Optional[Any]=4				, _A  :		int=[2, 2, 2, 2]				, _A  :		Any=[8, 4, 2, 1]				, _A  :		Optional[Any]=[32, 64, 1_60, 2_56]				, _A  :		Tuple=[7, 3, 3, 3]				, _A  :		Optional[int]=[4, 2, 2, 2]				, _A  :		str=[1, 2, 5, 8]				, _A  :		List[Any]=[4, 4, 4, 4]				, _A  :		str="gelu"				, _A  :		str=0.0				, _A  :		int=0.0				, _A  :		List[str]=0.1				, _A  :		Tuple=0.02				, _A  :		Optional[int]=0.1				, _A  :		Union[str, Any]=1e-6				, _A  :		Dict=2_56				, _A  :		Tuple=2_55				, **_A  :		Optional[int]				, )    ->							int:
								super().__init__(**_A      )

								if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
											warnings.warn(
											    '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
											    ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''				, _A				, )

								UpperCAmelCase_      :       str          =       num_channels
								UpperCAmelCase_      :       Any          =       num_encoder_blocks
								UpperCAmelCase_      :       str          =       depths
								UpperCAmelCase_      :       Dict          =       sr_ratios
								UpperCAmelCase_      :       int          =       hidden_sizes
								UpperCAmelCase_      :       List[Any]          =       patch_sizes
								UpperCAmelCase_      :       int          =       strides
								UpperCAmelCase_      :       List[Any]          =       mlp_ratios
								UpperCAmelCase_      :       Optional[int]          =       num_attention_heads
								UpperCAmelCase_      :       str          =       hidden_act
								UpperCAmelCase_      :       str          =       hidden_dropout_prob
								UpperCAmelCase_      :       int          =       attention_probs_dropout_prob
								UpperCAmelCase_      :       List[str]          =       classifier_dropout_prob
								UpperCAmelCase_      :       str          =       initializer_range
								UpperCAmelCase_      :       Tuple          =       drop_path_rate
								UpperCAmelCase_      :       Optional[int]          =       layer_norm_eps
								UpperCAmelCase_      :       Optional[Any]          =       decoder_hidden_size
								UpperCAmelCase_      :       Union[str, Any]          =       kwargs.get('''reshape_last_stage'''				, _A      )
								UpperCAmelCase_      :       int          =       semantic_loss_ignore_index






class  snake_case__      (					UpperCamelCase):
					a_        =					version.parse("1.11")




					@property
					def 		A      (  self  :		List[str]      )    ->							Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]      )




					@property
					def 		A      (  self  :		Dict      )    ->							float:
								return 1e-4





					@property
					def 		A      (  self  :		str      )    ->							int:
								return 12








'''simple docstring'''


class  __lowercase    :  # Public class to implement a graph







   def __init__(						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     None:
     __a								=       row
     __a								=       col
     __a								=       graph







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     bool:
     return (
         0 <= i < self.ROW
         and 0 <= j < self.COL
         and not visited[i][j]
         and self.graph[i][j]
     )







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )					->     None:
     # Checking all 8 elements surrounding nth element
     __a								=       [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
     __a								=       [-1, 0, 1, -1, 1, -1, 0, 1]
     __a								=       True  # Make those cells visited
     for k in range(8   ):
       if self.is_safe(i + row_nbr[k]   ,				j + col_nbr[k]   ,				UpperCamelCase   ):
         self.diffs(i + row_nbr[k]   ,				j + col_nbr[k]   ,				UpperCamelCase   )







   def 		UpperCamelCase__      (						self   )					->     int:  # And finally, count all islands.
     __a								=       [[False for j in range(self.COL   )] for i in range(self.ROW   )]
     __a								=       0
     for i in range(self.ROW   ):
       for j in range(self.COL   ):
         if visited[i][j] is False and self.graph[i][j] == 1:
           self.diffs(UpperCamelCase   ,				UpperCamelCase   ,				UpperCamelCase   )
           count += 1
     return count



